This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1274) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Natural Language Processing (644) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Health Services Research (410) Health Care Quality and Health Services Research (247)

Published on in Vol 23, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26616, first published .
Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid

Authors of this article:

Yuan-Chi Yang1 Author Orcid Image ;   Mohammed Ali Al-Garadi1 Author Orcid Image ;   Whitney Bremer1 Author Orcid Image ;   Jane M Zhu2 Author Orcid Image ;   David Grande3 Author Orcid Image ;   Abeed Sarker1, 4 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Yang Y, Al-Garadi M, Love J, Perrone J, Sarker A. Automatic gender detection in Twitter profiles for health-related cohort studies. JAMIA Open 2021;4(2) View
  2. Kanaparthi V. Examining Natural Language Processing Techniques in the Education and Healthcare Fields. International Journal of Engineering and Advanced Technology 2022;12(2):8 View

Books/Policy Documents

  1. Hemavathi U, Medona A. Information and Communication Technology for Competitive Strategies (ICTCS 2021). View